Mounika Chowdary

Aws Data Enginner @Regions Bank

Birmingham, AL, US

Deployed containerized applications on ECS and worked with Fargate for cost-optimized orchestration.• Designed and set up an enterprise data lake to support use cases including analytics, processing, storing, and reporting of large, rapidly changing data.• Maintained quality reference data in the source by performing data cleaning and transformation operations, ensuring integrity in a relational environment.• Designed and developed a security framework to provide fine-grained access to objects in AWS S3 using AWS Lambda and DynamoDB.• Set up and worked on Kerberos authentication principals to establish secure network communication and tested HDFS, Hive, Pig, and MapReduce to access the cluster for new users.• Performed architecture & implementation assessments of various AWS services like Amazon EMR, Redshift, and S3.• Implemented machine learning algorithms using Python to predict quantities for ordering, utilizing Kinesis Firehose and S3 data lake.• Used AWS EMR to transform and move large amounts of data into and out of AWS data stores like Amazon S3 and DynamoDB.• Created Lambda functions with Boto3 to deregister unused AMIs across application regions to reduce EC2 resource costs.• Used Spark SQL for Scala and Python interfaces to convert RDD case classes to schema RDD.•Imported data from sources like HDFS/HBase into Spark RDD and performed computations using PySpark.

Gannon University

Master's degree